Service
SEO process automation
We automate repetitive SEO operations — data collection and processing, checks, reports — so that speed does not come at the expense of quality.
What we automate
Data
collection and processing
Checks
quality control
Reports
regular compilation
AI-assisted
under control
Integration
into your process
Rules
validation criteria
Scope of work
What is included and what is not
Included
- Automation of repetitive SEO operations: exports, data collection and normalization.
- Processing of SEO data: keywords, site pages, technical check results.
- Automated quality checks, including comparing the state of the site before and after changes.
- Reports: regular compilation of data into a clear format.
- AI-assisted workflows — for example, preparing drafts from a brief with mandatory review.
- Building automation into your team’s current SEO processes.
Not included
- CRM and sales automation.
- Email marketing.
- SMM and PPC advertising.
- Business process automation outside SEO.
- AI consulting unrelated to SEO.
Principle
We don’t automate chaos. We build the system first.
Automation speeds up a process — along with its errors. That is why we first look at how the work is organized: which operations repeat, where the data comes from, what rules drive decisions and where review is needed.
We use AI where it speeds up analysis and preparation. Recommendations on site structure are produced by verifiable rules — the language model is not the source of the decision. Ambiguous and risky decisions stay with a human.
Deliverables
What you get
Process description
Which operations are automated, what data is used and where manual review is needed.
A solution for the agreed process
This can be scripts, exports, checks, reports or a combination of them. The exact scope depends on the data, tools and access.
Validation rules
Criteria by which the output of automation is checked before it is used.
Process
How we work
01
Process review
We look at which SEO operations repeat, how much manual work they involve and where errors occur.
02
Design
We describe the process: data, rules, checks and the points where a human makes the decision.
03
Implementation and validation
We automate the agreed steps and check the result on real data.
When to use it
When you need it
- your team spends a lot of time on the same exports and reports;
- post-release checks are done manually or not at all;
- AI is already in use, but the output takes a long time to rework;
- data from different sources is consolidated manually.
What to know in advance
- Automation does not replace SEO strategy or expert judgment.
- If the process is not defined, we start by describing it, not with tools.
- The scope of automation depends on access to your team’s data and tools.
Next step
Let’s talk about your site
Tell us what is happening with your site and organic search right now, and we will suggest where to start.